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Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/44844
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dc.contributor.authorBauer, Andrew C.en_US
dc.contributor.authorMoreland, Kennethen_US
dc.contributor.authorGeveci, Berken_US
dc.contributor.authorO’Leary, Patricken_US
dc.contributor.authorWhitlock, Braden_US
dc.creatorInformation Technology Laboratory (U.S.)en_US
dc.creatorSandia National Laboratoriesen_US
dc.creatorKitware, Inc.en_US
dc.creatorIntelligent Light LLCen_US
dc.date.accessioned2022-07-20T17:52:34Zen_US
dc.date.available2022-07-20T17:52:34Zen_US
dc.date.issued2022-07en_US
dc.identifier.govdocERDC/ITL MP-22-5en_US
dc.identifier.urihttps://hdl.handle.net/11681/44844en_US
dc.identifier.urihttp://dx.doi.org/10.21079/11681/44844en_US
dc.descriptionMiscellaneous Paperen_US
dc.description.abstractThe visualization community has invested decades of research and development into producing large-scale production visualization tools. Although in situ is a paradigm shift for large-scale visualization, much of the same algorithms and operations apply regardless of whether the visualization is run post hoc or in situ. Thus, there is a great benefit to taking the large-scale code originally designed for post hoc use and leveraging it for use in situ. This chapter describes two in situ libraries, Libsim and Catalyst, that are based on mature visualization tools, VisIt and ParaView, respectively. Because they are based on fully-featured visualization packages, they each provide a wealth of features. For each of these systems we outline how the simulation and visualization software are coupled, what the runtime behavior and communication between these components are, and how the underlying implementation works. We also provide use cases demonstrating the systems in action. Both of these in situ libraries, as well as the underlying products they are based on, are made freely available as open-source products. The overviews in this chapter provide a toehold to the practical application of in situ visualization.en_US
dc.description.sponsorshipHigh Performance Computing Modernization Program (U.S.)en_US
dc.format.extent34 pages / 801.03 kBen_US
dc.format.mediumPDF/Aen_US
dc.language.isoen_USen_US
dc.publisherEngineer Research and Development Center (U.S.)en_US
dc.relation.ispartofseriesMiscellaneous Paper (Engineer Research and Development Center (U.S.)) ; no. ERDC/ITL MP-22-5en_US
dc.relation.isversionofMoreland, Kenneth, Andrew C. Bauer, Berk Geveci, Patrick O’Leary, and Brad Whitlock. "Leveraging Production Visualization Tools In Situ." In In Situ Visualization for Computational Science, pp. 205-231. Springer, Cham, 2022. https://doi.org/10.1007/978-3-030-81627-8_10en_US
dc.rightsApproved for Public Release; Distribution is Unlimiteden_US
dc.sourceThis Digital Resource was created in Microsoft Word and Adobe Acrobaten_US
dc.subjectIn situ visualizationen_US
dc.subjectScientific visualizationen_US
dc.subjectHigh performance computingen_US
dc.subjectComputational scienceen_US
dc.subjectData reductionsen_US
dc.titleLeveraging production visualization tools in situen_US
dc.typeReporten_US
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